首页|基于改进生态足迹的区域生态安全评价研究——以山东省长岛县为例

基于改进生态足迹的区域生态安全评价研究——以山东省长岛县为例

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应用生态足迹方法和能值理论探讨了区域生态安全评价问题,提出了生态压力指数概念及计算方法,计算了山东省长岛县2003-2008年间的生态足迹、生态承载力、生态赤字、生态压力指数.分析表明,生态占用和生态承载力均呈上升趋势,生态赤字明显,生态压力指数呈上升趋势.目前长岛县生态安全等级属于Ⅳ级,处于不安全状态,生态需求与生态供给矛盾日益突出.运用改进的生态足迹方法评价区域生态安全,增强了评价的客观性、准确性和尺度性.提出的区域生态安全评价方法为长岛县生态安全管理提供科学依据和指导.
Regional Ecological Security Assessment Based on Improved Method of Ecological Footprint —The Case of Shandong Changdao County
This article is an elementary exploration and practice of applying emergy theory and ecological footprint to assess regional ecological security. The ecological footprint, carrying capacity, and ecological deficit of Changdao county were calculated. Furthermore, the concept and model of ecological footprint pressure index (EFPI) as well as the grade system of regional ecological security was put forward based on ecological footprint so as to analyze the regional ecological security. From 2003 to 2008 the per capita ecological capacity and the per capita ecological footprint of Changdao show an increasing tendency. The per capita ecological deficit appears an increasing tendency. According to the ecological security grade system measured off by EFPI, the security degree of ecology system belongs to IV ,and it is a worsening state. The improved method makes evaluation results more objective, precise and measurable. The improved models in this paper could make an important contribution to decision -making for Changdao's governors and to the development of the island regional planning incorporation assessment and prediction of ecological security. This study demonstrates the potential of the improved model for assessing ecological security.

ecological footprintemergy theoryecological securityecological footprint pressure index

李中才、徐俊艳、姬宇

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山东工商学院管理科学与工程学院,山东 烟台264005

生态足迹 能值分析 生态安全 生态压力指数

国家自然科学基金教育部人文社会科学研究规划项目山东省自然科学基金山东省社会科学规划研究项目

7087206310YJA630091ZR2009HM01409CJGZ24

2011

农业系统科学与综合研究
中国系统工程学会农业系统工程委员会 中国科学院东北地理与农业生态研究所

农业系统科学与综合研究

CSTPCD
影响因子:0.811
ISSN:1001-0068
年,卷(期):2011.27(3)
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